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Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels

: Bauckhage, C.; Sifa, R.; Drachen, A.; Thurau, C.; Hadiji, F.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Conference on Computational Intelligence and Games, CIG 2014. Proceedings : Dortmund, Germany, 26 - 29 August 2014
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-3548-2
ISBN: 978-1-4799-3546-8
ISBN: 978-1-4799-3547-5
Conference on Computational Intelligence and Games (CIG) <2014, Dortmund>
Fraunhofer IAIS ()

Evaluating the spatial behavior of players allows for comparing design intent with emergent behavior. However, spatial analytics for game development is still in its infancy and current analysis mostly relies on aggregate visualizations such as heatmaps. In this paper, we propose the use of advanced spatial clustering techniques to evaluate player behavior. In particular, we consider the use of DEDICOM and DESICOM, two techniques that operate on asymmetric spatial similarity matrices and can simultaneously uncover preferred locations and likely transitions between them. Our results highlight the ability of asymmetric techniques to partition game maps into meaningful areas and to retain information about player movements between these areas.